20 research outputs found
Review of Aakash Singh Rathore, Plato’s Labyrinth: Sophistries, lies and conspiracies in Socratic dialogues
No full textAakash Rathore Singh’s book Plato’s Labyrinth: Sophistries, Lies and Conspiracies in Socratic Dialogues attempts to break ground substantially, as far as I can discern, in two areas—one, on textual interpretive method or hermeneutics and the other on the content of what Plato has to say regarding issues like tyranny, the polis and the role of the philosopher in the political community. The kind of division I have just made regarding the intent of the author might not sit very well with the author himself, however. The reason I say this is because what Aakash Singh Rathore is attempting to do is to say that, with Plato, the content and the method of explicating that content always go hand in hand and that it is futile to separate them
Performance analysis of machine learning applications on rapid: a highly parallel computer architecture
No full textOver the past few years, the interest and application of machine learning algorithms has risen exponentially. Machine learning has found extensive use in diverse fields like self-driving cars, speech recognition, image processing, computer vision, molecular biology, security etc. A lot of recent research involves evaluation of machine learning applications on different architectures. In this thesis, we evaluate the performance of six common machine learning algorithms: K-Means, K-Nearest Neighbors, Linear Regression, Latent Dirichlet Allocation, Deep Neural Network, and Radix Sort on RAPID. RAPID is a highly parallel computer architecture developed at Oracle Labs for accelerating and improving the performance of database analytic workloads. We find that the RAPID platform performs well on the performance-per-watt metric i.e. it is a power-efficient architecture. Moreover, the machine learning applications can be easily scaled to hundreds of nodes of the RAPID architecture, thereby making it suitable for distributed machine learning applications. However, we find certain bottlenecks in the micro-architecture, memory system and network of the RAPID architecture and propose optimizations to make it a more performance efficient architecture for machine learning applications.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Aakash Modi, accepted the attached license on 2017-04-26 at 12:22.The student, Aakash Modi, submitted this Thesis for approval on 2017-04-26 at 12:30.This Thesis was approved for publication on 2017-04-26 at 16:22.DSpace SAF Submission Ingestion Package generated from Vireo submission #11087 on 2017-08-10 at 14:32:41Made available in DSpace on 2017-08-10T19:52:24Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-04-26Embargo set by: Colleen Fallaw for item 102690
Lift date: 2019-08-10T21:25:30Z
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Retracted Article: Functional Appliances in the Treatment of Class II Malocclusion- A Review
No full textThe article stands retracted due to double submission by the author Dr. Aakash Shah .
It is quite regretful that such authors waste the time and resources of the journal.
View the email sent by Dr. Aakash below.
Functional jaw orthopaedic appliances are a treatment modality for the correction of Class II malocclusions due to mandibular retrusion. A wide range of functional appliances which aim to stimulate mandibular growth by holding the mandible forward is available to correct this type of skeletal and occlusal disharmony. However, the effects of functional appliances are still controversial. Numerous animal experiments and clinical studies have been performed to help ascertain the mechanisms underlying the effects of functional appliances and the optimal timing of treatment. This literature review will be restricted to a discussion of the role of functional appliance therapy in the treatment of class II malocclusions
Correction: Atomate2: modular workflows for materials science
No full textCorrection for “Atomate2: modular workflows for materials science” by Alex M. Ganose et al., Digital Discovery, 2025, 4, 1944–1973, https://doi.org/10.1039/D5DD00019J. There is an error in Aakash Naik name in the author list of the original manuscript. The correct name, as given in the author list of this Correction, is “Aakash A. Naik”. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers
Retracted Article: Use of CBCT in Orthodontics- A Review
No full textThe article stands retracted due to double submission by the author Dr. Aakash Shah .
It is quite regretful that such authors waste the time and resources of the journal.
View the email sent by Dr. Aakash below.
Lateral cephalometric radiographs are most commonly used as a diagnostic tool in orthognathic surgery as well as orthodontic treatment. But the limitation of lateral cephalograms is its 2 dimensional nature whereas the human body is 3 dimensional. Conventional 2D lateral cephalograms have numerous drawbacks in terms of investigating the changes in the alveolar bone and roots, particularly in the anterior region, as a consequence of the midsagittal projection. Additionally its accuracy is questionable as it has projection errors. The use of computed tomography in 3D imaging of human body is available in the field of medicine since last 30 years. CT scanning is the three dimensional imaging technique giving quantitative assessments of the buccal and lingual cortical bone plates and labiolingual width of alveolar bone with elevated accuracy and precision. But the use of computed tomography in dentistry is limited because the amount of radiation exposure with this technology is very high. Since the invention of Cone Beam Computed Tomography, the amount of radiation exposure in the patient is reduced. This enhances its use in obtaining the 3D images of the craniofacial structures. This technology helps in visualizing the hard and soft tissues of the craniofacial structures from various perspectives and helps in thorough diagnosis and treatment planning of orthognathic surgery and orthodontic patients. The principles of CBCT and its use in the field of orthodontics will be discussed in detail in this paper
Public Canine Cancer Research
No full textThe use of citizen science to study and research canine cancerFall 2014Accompanied by video fil
Unobtrusive, through-clothing ECG and Bioimpedance Monitoring in Sleep Apnea Patients
No full textA real-life validation of a system for simultaneous acquisition of capacitively-coupled ECG (ccECG) and capacitively-coupled bioimpedance (ccBioz) is presented. The heart rate (HR) and respiration rate (RR) estimation performance was evaluated using polysomnography (PSG) signals as ground-truth, in recordings from 28 patients with suspected obstructive sleep apnea (OSA). A ccECG beat detection sensitivity of 98.4% and an R-R interval mean absolute error (MAE) of 17.1 ms were achieved when applying quality-based algorithms. RR MAE values of 3.48 and 6.37 breaths per minute were also achieved when using two different RR extraction methods. High similarity between unobtrusive signals and PSG ground-truth was observed, with a correlation between ccECG and psgECG of 91.5% and a correlation between ccBioz and PSG thoracic belt (TB) of 89.5%. Even in episodes containing OSA events, the characteristic respiration behavior of TB signals was also observed in the ccBioz signals. This shows the potential of ccECG and ccBioz for use in long-term monitoring without adding discomfort to the patient or user. Sleep-related applications as well as more generic cardiorespiratory monitoring in (patient) beds are obvious applications, but also other daily life monitoring can be done using a similar approach (e.g. in seats).Signal Processing System
Development and Feasibility Study of a Mixed-Mode Solar Dryer for Bankariya, Hetauda, Province-3, Nepal
No full textSolar Drying is one of the practical and efficient ways to preserve vegetables, fruits, and other crops from spoilage and periodic degradation. Bankariya VDC Hetauda, Province-3, Nepal, where the study was conducted, has been facing the problem of spoilage mainly due to lack of transportation and prevalent effective drying practices. To address the existing situation, basing upon the geographic and economic factors, a mixed-mode solar dryer was fabricated for the locality and the performance of the solar dryer against 2.5 mm slice of fresh ginger was evaluated. The mixed-mode solar dryer showed good results with a percentage time saved of 77.77% and with the cumulative drying rate of 0.0368 kg/h for 1 kg sample and 0.085 kg/h for 2 kg sample, respectively. The mixed-mode solar dried showed promising results for varying sample sizes and could be further upscaled for larger quantities of varying crops
ProActive DeepFake Detection using GAN-based Visible Watermarking
No full textThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).With the advances in generative adversarial networks (GAN), facial manipulations called DeepFakes have caused major security risks and raised severe societal concerns. However, the popular DeepFake passive detection is an ex-post forensics countermeasure and fails in blocking the disinformation spread in advance. Alternatively, precautions such as adding perturbations to the real data for unnatural distorted DeepFake output easily spotted by the human eyes are introduced as proactive defenses. Recent studies suggest that these existing proactive defenses can be easily bypassed by employing simple image transformation and reconstruction techniques when applied to the perturbed real data and the distorted output, respectively. The aim of this article is to propose a novel proactive DeepFake detection technique using GAN-based visible watermarking. To this front, we propose a reconstructive regularization added to the GAN’s loss function that embeds a unique watermark to the assigned location of the generated fake image. Thorough experiments on multiple datasets confirm the viability of the proposed approach as a proactive defense mechanism against DeepFakes from the perspective of detection by human eyes. Thus, our proposed watermark-based GANs prevent the abuse of the pretrained GANs and smartphone apps, available via online repositories, for DeepFake creation for malicious purposes. Further, the watermarked DeepFakes can also be detected by the SOTA DeepFake detectors. This is critical for applications where automatic DeepFake detectors are used for mass audits due to the huge cost associated with human observers examining a large amount of data manually. © 2024 Copyright held by the owner/author(s) Publication rights licensed to ACM.Air Force Office of Scientific Research, AFOSR; National Science Foundation, NSF: 2129173, 2235135, 13106715; National Science Foundation, NSFThis work is supported by National Science Foundation ( NSF ) awards no. 2129173 and 2235135. The research infrastructure used in this study is supported by grant no. 13106715 from the Air Force Office of Scientific Research
